C. Cornalba, R. Bellazzi, S. Quaglini, R.G. Bellazzi1, M. Stefanelli
Dipartimento di Informatica e Sistemistica, University of Pavia Italy
1 Unit of Nephrology and Dialysis, S.O. Vigevano, A.O. Pavia, Vigevano, Italy
Nowadays, health care organizations (HCOs) are developing into complex enterprises, where the ability of managing risks is a key factor of success for the efficiency (economic results) and the efficacy (outcome results) of the delivered care. In HCOs we can distinguish two different kinds of risk management: “pure” risk management and clinical risk management. The former is the management of the generic risks of any company (such as fires, natural disasters, liability lawsuits, work injuries, and other types of accidents or legal actions), the latter is linked with the particular service supplied, which is the health good. The adverse events which provoke a damn and financial losses are more frequent during the health service’s supply than in other activity and it is therefore crucial to develop methods for adaptively measuring risks and define decisions to reduce them [1]. In our case, we will concentrate on the problem of managing clinical risks, e.g. to identify and measure the risk of hospitalization and mortality and their expected costs, in haemodialysis departments. |
